Imaging Machine Learning Engineer

Job description

Optimize image quality across the hardware and software stack, ensuring hardware capabilities are leveraged through software tuning. Fine-tune 3A algorithms to ensure performance across lighting and environmental conditions. Build software tools, utilizing machine learning (ML) automation to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows. Minimum Qualifications: Bachelor’s degree in Electrical Engineering, Computer Science, Imaging Science, Physics, or a related field, or equivalent practical experience. 2 years of experience in Image Quality, Computer Vision, or a related technical field. 2 years of experience in Python and C++ for algorithm development and implementation. Preferred Qualifications: Master’s degree, or PhD in a related field. 3 years of professional experience in a related field. Industry experience in SoC/ISP constraints, 3A tuning, or the application of Deep Learning to real-time imaging pipelines. A proven track record of delivering high-quality, commercial, market-facing consumer cameras. A strong track record of self-driven learning and the capability to rapidly master new technologies and domains. Excellent written and verbal communication skills, with a demonstrated ability to translate technical concepts into clear, actionable insights for cross-functional partners.